EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
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Updated
Nov 1, 2025 - Python
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Sediment ANalysis and Delineation through Images. A free and open-source software to process particles from high-resolution underwater images and to analyze gravels from laboratory images. Designed for contour detection, shape characterization and size measurement. SANDI is intended to become a collaborative project.
Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.
Convert PatchCamelyon dataset to png images.
🔬 Detecção Histopatológica de Câncer a partir de imagens disponibilizadas pelos datasets PatchCamelyon (PCam) e Breast Cancer Histopathological Dataset (BreakHis) e a partir de dados tabulares (Breast Cancer Wisconsin Diagnostic Dataset).
ResNet-34 training optimisation study on PCam histopathology images with multi-seed evaluation.
Nexys Video FPGA sensor-fusion HUD integrating Pcam 5C camera input, sonar acquisition, CDC-safe telemetry snapshots, HDMI compositing, OLED telemetry, and debug outputs.
Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.
Hands-on 10-chapter clinical AI curriculum for radiology fellows with zero ML background. Notebook + glossary + Gradio demo + fine-tuned HF model. Designed to be executed, not read.
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